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<h1 id="Celery-简介"><a href="#Celery-简介" class="headerlink" title="Celery 简介"></a>Celery 简介</h1><p>​ 除了redis，还可以使用另外一个神器—Celery。Celery是一个异步任务的调度工具。</p>
<p>​ Celery 是 Distributed Task Queue，分布式任务队列，分布式决定了可以有多个 worker 的存在，队列表示其是异步操作，即存在一个产生任务提出需求的工头，和一群等着被分配工作的码农。</p>
<p>​ 在 Python 中定义 Celery 的时候，我们要引入 Broker，中文翻译过来就是“中间人”的意思，在这里 Broker 起到一个中间人的角色。在工头提出任务的时候，把所有的任务放到 Broker 里面，在 Broker 的另外一头，一群码农等着取出一个个任务准备着手做。</p>
<p>​ 这种模式注定了整个系统会是个开环系统，工头对于码农们把任务做的怎样是不知情的。所以我们要引入 Backend 来保存每次任务的结果。这个 Backend 有点像我们的 Broker，也是存储任务的信息用的，只不过这里存的是那些任务的返回结果。我们可以选择只让错误执行的任务返回结果到 Backend，这样我们取回结果，便可以知道有多少任务执行失败了。</p>
<p>​ Celery(芹菜)是一个异步任务队列&#x2F;基于分布式消息传递的作业队列。它侧重于实时操作，但对调度支持也很好。Celery用于生产系统每天处理数以百万计的任务。Celery是用Python编写的，但该协议可以在任何语言实现。它也可以与其他语言通过webhooks实现。Celery建议的消息队列是RabbitMQ，但提供有限支持Redis, Beanstalk, MongoDB, CouchDB, 和数据库（使用SQLAlchemy的或Django的 ORM） 。Celery是易于集成Django, Pylons and Flask，使用 django-celery, celery-pylons and Flask-Celery 附加包即可。</p>
<p><strong>Celery 官网：<a target="_blank" rel="noopener" href="http://www.celeryproject.org/">http://www.celeryproject.org/</a></strong></p>
<p><strong>Celery 官方文档英文版</strong>：<a target="_blank" rel="noopener" href="http://docs.celeryproject.org/en/latest/index.html"><strong>http://docs.celeryproject.org/en/latest/index.html</strong></a></p>
<p><strong>Celery 官方文档中文版：<a target="_blank" rel="noopener" href="http://docs.jinkan.org/docs/celery/">http://docs.jinkan.org/docs/celery/</a></strong></p>
<p>项目目录</p>
<p><img src="https://img-blog.csdnimg.cn/img_convert/fdc2e97ade8efb5775ea905234934c2a.png" alt="image-20210623184033611"></p>
<p>Config.py</p>
<figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment"># -*- coding: utf-8 -*-</span></span><br><span class="line"><span class="string">&quot;&quot;&quot;</span></span><br><span class="line"><span class="string">@author   : Zeo</span></span><br><span class="line"><span class="string">@software : PyCharm2021</span></span><br><span class="line"><span class="string">@docs     : https://docs.celeryproject.org/en/stable/userguide/configuration.html</span></span><br><span class="line"><span class="string">&quot;&quot;&quot;</span></span><br><span class="line"></span><br><span class="line">broker_url = <span class="string">&#x27;redis://127.0.0.1:6379/2&#x27;</span>  <span class="comment"># 消息中间件配置</span></span><br><span class="line"></span><br><span class="line"><span class="comment">#result_backend = &#x27;redis://127.0.0.1:6379/16&#x27;  # 默认不开启,后端用于存储任务结果（逻辑删除）</span></span><br></pre></td></tr></table></figure>

<p>Main.py</p>
<figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br><span class="line">30</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment"># -*- coding: utf-8 -*-</span></span><br><span class="line"><span class="string">&quot;&quot;&quot;</span></span><br><span class="line"><span class="string">@author   : Zeo</span></span><br><span class="line"><span class="string">@software : PyCharm2021</span></span><br><span class="line"><span class="string">@docs     : https://docs.celeryproject.org/en/stable/</span></span><br><span class="line"><span class="string">            https://github.com/celery/celery</span></span><br><span class="line"><span class="string">&quot;&quot;&quot;</span></span><br><span class="line"></span><br><span class="line"><span class="keyword">import</span> os</span><br><span class="line"></span><br><span class="line"><span class="keyword">from</span> celery <span class="keyword">import</span> Celery</span><br><span class="line"></span><br><span class="line"><span class="comment"># 为celery程序设置Django配置</span></span><br><span class="line">os.environ.setdefault(<span class="string">&#x27;DJANGO_SETTINGS_MODULE&#x27;</span>, <span class="string">&#x27;drf_admin.settings.dev&#x27;</span>)</span><br><span class="line"></span><br><span class="line"><span class="comment"># 创建celery应用 app = Celery(&#x27;admin&#x27;)</span></span><br><span class="line">app = Celery(<span class="string">&#x27;scan&#x27;</span>)</span><br><span class="line"></span><br><span class="line"><span class="comment"># 导入celery配置</span></span><br><span class="line">app.config_from_object(<span class="string">&#x27;celery_tasks.config&#x27;</span>)</span><br><span class="line"></span><br><span class="line"><span class="comment"># 加载celery任务模块</span></span><br><span class="line">app.autodiscover_tasks([<span class="string">&#x27;celery_tasks.sms&#x27;</span>, <span class="string">&#x27;drf_admin.apps.vulscan&#x27;</span>])</span><br><span class="line"></span><br><span class="line"><span class="comment"># 启动Celery命令, (修改celery任务后必须重启celery)</span></span><br><span class="line"><span class="comment"># celery -A celery_tasks.main  worker --loglevel=info</span></span><br><span class="line"></span><br><span class="line"><span class="comment"># win系统(celery4.0版本后不支持win, 需安装eventlet模块启动celery)</span></span><br><span class="line"><span class="comment"># celery -A celery_tasks.main  worker --loglevel=info -P eventlet</span></span><br><span class="line"></span><br></pre></td></tr></table></figure>

<p>建立task.py文件(里面是异步的主程序)</p>
<figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br></pre></td><td class="code"><pre><span class="line"><span class="comment"># author: Zeo</span></span><br><span class="line"><span class="comment"># python: 3.7 </span></span><br><span class="line"><span class="comment"># datetime:2021/6/15 11:28 上午</span></span><br><span class="line"><span class="comment"># software: PyCharm</span></span><br><span class="line"></span><br><span class="line"><span class="string">&quot;&quot;&quot;</span></span><br><span class="line"><span class="string">文件说明：celery异步测试</span></span><br><span class="line"><span class="string">&quot;&quot;&quot;</span></span><br><span class="line"><span class="keyword">from</span> random <span class="keyword">import</span> random</span><br><span class="line"><span class="keyword">from</span> celery_tasks.main <span class="keyword">import</span> app</span><br><span class="line"></span><br><span class="line"></span><br><span class="line"><span class="meta">@app.task(<span class="params">name=<span class="string">&#x27;celerytest1&#x27;</span></span>)</span></span><br><span class="line"><span class="keyword">def</span> <span class="title function_">celerytest1</span>(<span class="params"><span class="built_in">id</span></span>):</span><br><span class="line">    <span class="built_in">print</span>(<span class="string">&quot;celery_tasks&quot;</span>+<span class="built_in">str</span>(<span class="built_in">id</span>))</span><br></pre></td></tr></table></figure>

<p>注意每次增加任务，要注册任务模块</p>
<figure class="highlight plaintext"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br></pre></td><td class="code"><pre><span class="line">Main.py</span><br><span class="line"># 加载celery任务模块</span><br><span class="line">app.autodiscover_tasks([&#x27;celery_tasks.sms&#x27;, &#x27;drf_admin.apps.vulscan&#x27;])</span><br></pre></td></tr></table></figure>

<p>调用异步任务</p>
<figure class="highlight python"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br></pre></td><td class="code"><pre><span class="line"><span class="meta">@action(<span class="params">methods=[<span class="string">&#x27;post&#x27;</span>], detail=<span class="literal">False</span></span>)</span></span><br><span class="line"><span class="keyword">def</span> <span class="title function_">scan</span>(<span class="params">self, request</span>):</span><br><span class="line">    data=request.data</span><br><span class="line">    <span class="built_in">id</span> = request.data.get(<span class="string">&#x27;id&#x27;</span>)</span><br><span class="line"></span><br><span class="line">    <span class="comment">#celerytest1 异步任务，调用delay。（id）是传参</span></span><br><span class="line">    celerytest1.delay(<span class="built_in">id</span>)</span><br><span class="line"></span><br><span class="line">    <span class="keyword">return</span> HttpResponse(content=<span class="string">&#x27;one_scan&#x27;</span>, content_type=<span class="literal">None</span>, status=<span class="number">200</span>)</span><br></pre></td></tr></table></figure>

<h1 id="命令行启动"><a href="#命令行启动" class="headerlink" title="命令行启动"></a>命令行启动</h1><figure class="highlight shell"><table><tr><td class="gutter"><pre><span class="line">1</span><br></pre></td><td class="code"><pre><span class="line">celery -A celery_tasks.main  worker --loglevel=info  </span><br></pre></td></tr></table></figure></article><div class="post-copyright"><div class="post-copyright__author"><span class="post-copyright-meta">文章作者: </span><span class="post-copyright-info"><a href="https://godzeo.github.io">Zeo</a></span></div><div class="post-copyright__type"><span class="post-copyright-meta">文章链接: </span><span class="post-copyright-info"><a href="https://godzeo.github.io/2021/06/23/Celery%E5%9C%A8DJANGO%E4%B8%AD%E7%9A%84%E7%AE%80%E5%8D%95%E4%BD%BF%E7%94%A8/">https://godzeo.github.io/2021/06/23/Celery%E5%9C%A8DJANGO%E4%B8%AD%E7%9A%84%E7%AE%80%E5%8D%95%E4%BD%BF%E7%94%A8/</a></span></div><div class="post-copyright__notice"><span class="post-copyright-meta">版权声明: </span><span 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